Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain. - Charles Y. Zheng; Franco Pestilli; Ariel Rokem (NIPS, 2014)

Differing effects of attention in single-units and populations are well predicted by heterogeneous tuning and the normalization model of attention. - Yuko Hara; Franco Pestilli; Justin L. Gardner (Frontiers Comput. Neurosci., 2014)

White Matter Diffusion of Major Fiber Tracts Implicated in Autism Spectrum Disorder. - Lauren E. Libero; Wesley K. Burge; Hrishikesh Deshpande; Franco Pestilli; Rajesh K. Kana (Brain Connect., 2016)

Ensemble Tractography. - Hiromasa Takemura; Cesar F. Caiafa; Brian A. Wandell; Franco Pestilli (PLoS Comput. Biol., 2016)

MPI-LiFE: Designing High-Performance Linear Fascicle Evaluation of Brain Connectome with MPI. - Shashank Gugnani; Xiaoyi Lu; Franco Pestilli; Cesar F. Caiafa; Dhabaleswar K. Panda 001 (HiPC, 2017)

Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays. - Cesar F. Caiafa; Olaf Sporns; Andrew J. Saykin; Franco Pestilli (NIPS, 2017)

Shape Analysis of White Matter Tracts via the Laplace-Beltrami Spectrum. - Lindsey Kitchell; Daniel Bullock; Soichi Hayashi; Franco Pestilli (ShapeMI@MICCAI, 2018)

Framework for shape analysis of white matter fiber bundles. - Tanya Glozman; Lisa Bruckert; Franco Pestilli; Derek W. Yecies; Leonidas J. Guibas; Kristen W. Yeom (NeuroImage, 2018)

ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs. - Sawan Kumar; Varsha Sreenivasan; Partha P. Talukdar; Franco Pestilli; Devarajan Sridharan (AAAI, 2019)

Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. - Giulia Bertò; Paolo Avesani; Franco Pestilli; Daniel Bullock; Bradley Caron; Emanuele Olivetti (ISBI, 2019)

Learning Macroscopic Brain Connectomes via Group-Sparse Factorization. - Farzane Aminmansour; Andrew Patterson; Lei Le; Yisu Peng; Daniel Mitchell; Franco Pestilli; Cesar F. Caiafa; Russell Greiner; Martha White (NeurIPS, 2019)

Triple visual hemifield maps in a case of optic chiasm hypoplasia. - Khazar Ahmadi; Alessio Fracasso; Robert J. Puzniak; Andre D. Gouws; Renat Yakupov; Oliver Speck; Joern Kaufmann; Franco Pestilli; Serge O. Dumoulin; Antony B. Morland; Michael B. Hoffmann (NeuroImage, 2020)

Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. - Giulia Bertò; Daniel Bullock; Pietro Astolfi; Soichi Hayashi; Luca Zigiotto; Luciano Annicchiarico; Francesco Corsini; Alessandro De Benedictis; Silvio Sarubbo; Franco Pestilli; Paolo Avesani; Emanuele Olivetti (NeuroImage, 2021)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - Kurt G. Schilling; François Rheault; Laurent Petit; Colin B. Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi Gomez; Marco Pizzolato; et al. (NeuroImage, 2021)

GPU-accelerated connectome discovery at scale. - Varsha Sreenivasan; Sawan Kumar; Franco Pestilli; Partha P. Talukdar; Devarajan Sridharan (Nat. Comput. Sci., 2022)

Open and reproducible neuroimaging: From study inception to publication. - Guiomar Niso; Rotem Botvinik-Nezer; Stefan Appelhoff; Alejandro de la Vega; Oscar Esteban; Joset A. Etzel; Karolina Finc; Melanie Ganz; Rémi Gau; Yaroslav O. Halchenko; Peer Herholz; Agah Karakuzu; et al. (NeuroImage, 2022)

brainlife.io: A decentralized and open source cloud platform to support neuroscience research. - Soichi Hayashi; Bradley Caron; Anibal Sólon Heinsfeld; Sophia Vinci-Booher; Brent C. McPherson; Daniel N. Bullock; Giulia Berto; J. Guiomar Niso; Sandra Hanekamp; Daniel Levitas; Lindsey Kitchell; Josiah Leong; et al. (CoRR, 2023)

ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms. - Daniel Levitas; Soichi Hayashi; Sophia Vinci-Booher; Anibal Sólon Heinsfeld; Dheeraj Bhatia; Nicholas Lee; Anthony Galassi; Guiomar Niso; Franco Pestilli (CoRR, 2023)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

A Maturity Model for Operations in Neuroscience Research. - Erik C. Johnson; Thinh T. Nguyen; Benjamin K. Dichter; Frank Zappulla; Montgomery Kosma; Kabilar Gunalan; Yaroslav O. Halchenko; Shay Q. Neufeld; Michael Schirner; Petra Ritter; Maryann E. Martone; Brock A. Wester; et al. (CoRR, 2024)

Automating the Practice of Science - Opportunities, Challenges, and Implications. - Sebastian Musslick; Laura Bartlett; Suyog H. Chandramouli; Marina Dubova; Fernand Gobet; Thomas L. Griffiths 001; Jessica Hullman; Ross D. King; J. Nathan Kutz; Christopher G. Lucas; Suhas Mahesh; Franco Pestilli; et al. (CoRR, 2024)

sparsegl: An R Package for Estimating Sparse Group Lasso. - Xiaoxuan Liang 001; Aaron Cohen; Anibal Sólon Heinsfeld; Franco Pestilli; Daniel J. McDonald (J. Stat. Softw., 2024)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)

Breaking barriers: broadening neuroscience education via cloud platforms and course-based undergraduate research. - Franco Delogu; Chantol Aspinall; Kimberly L. Ray; Anibal Sólon Heinsfeld; Conner Victory; Franco Pestilli (Frontiers Neuroinformatics, 2025)

FAIR African brain data: challenges and opportunities. - Eberechi Wogu; George Ogoh; Patrick Filima; Barisua Nsaanee; Bradley Caron; Franco Pestilli; Damian Eke (Frontiers Neuroinformatics, 2025)